Efficient Genetic Algorithm sets for optimizing constrained building design problem
International Journal of Sustainable Built Environment(2016)
摘要
The main aim of this paper is to find the appropriate set of Genetic Algorithm (GA), control parameters that attain the optimum, or near optimum solutions, in a reasonable computational time for constrained building optimization problem. Eight different combinations of control parameters of binary coded GA were tested in a hypothetical building problem by changing 80 variables.
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关键词
Constrained building optimization problem,Genetic Algorithm (GA),GA control parameters,Simulation calls,Thermal comfort
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